Sökning: "Graphics Processor"

Visar resultat 16 - 20 av 36 uppsatser innehållade orden Graphics Processor.

  1. 16. A Comparison of Performance Between a CPU and a GPU on Prime Factorization Using Eratosthene's Sieve and Trial Division

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Caroline W. Borg; Erik Dackebro; [2017]
    Nyckelord :;

    Sammanfattning : There has been remarkable advancement in Multi-cored Processing Units over the past decade. GPUs, which were originally designed as a specialized graphics processor, are today used in a wide variety of other areas. Their ability to solve parallel problems is unmatched due to their massive amount of simultaneously running cores. LÄS MER

  3. 17. Evaluation of Multi-Threading in Vulkan

    M1-uppsats, Linköpings universitet/Informationskodning

    Författare :Axel Blackert; [2016]
    Nyckelord :;

    Sammanfattning : Today processor development has a lot of focus on parallel performance by providing multiple cores that programs can use. The problem with the current version of OpenGL is that it lacks support for utilizing multiple CPU threads for calling rendering commands. LÄS MER

  4. 18. Parallelization of DIRA and CTmod Using OpenMP and OpenCL

    Master-uppsats, Linköpings universitet/Informationskodning; Linköpings universitet/Tekniska fakulteten

    Författare :Alexander Örtenberg; [2015]
    Nyckelord :;

    Sammanfattning : Parallelization is the answer to the ever-growing demands of computing power by taking advantage of multi-core processor technology and modern many-core graphics compute units. Multi-core CPUs and many-core GPUs have the potential to substantially reduce the execution time of a program but it is often a challenging task to ensure that all available hardware is utilized. LÄS MER

  5. 19. High-performance particle simulation using CUDA

    Master-uppsats, Linköpings universitet/Informationskodning; Linköpings universitet/Tekniska fakulteten

    Författare :Mikael Kalms; [2015]
    Nyckelord :CUDA; parallel computing; particle simulation; GPU;

    Sammanfattning : Over the past 15 years, modern PC graphics cards (GPUs) have changed from being pure graphics accelerators into parallel computing platforms.Several new parallel programming languages have emerged, including NVIDIA's parallel programming language for GPUs (CUDA). LÄS MER

  7. 20. Packet Ray Tracing with the ARM NEON Architecture

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Gustaf Waldemarson; [2014]
    Nyckelord :Packet Ray Tracing; ARM; NEON; SIMD; Technology and Engineering;

    Sammanfattning : The ray tracing algorithm has long been used to create near photorealistic images and even simple ray tracers can simulate effects such as shadows, reflections and refractions where other methods struggle. Today, the state-of-the-art CPU ray tracers are typically those that are able to efficiently leverage datalevel parallelism at the instruction level by using SIMD extensions to allow the processor to trace multiple rays simultaneously, rather than one at a time. LÄS MER